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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/azure-data-factory-data-integration
课程评论：没有评论
课程名称：使用Microsoft Azure Data Factory进行数据集成 概述：本课程将教授如何使用Azure Data Factory在云中创建和管理数据管道。该课程是一个专业化学习的一部分，旨在帮助数据工程师和开发人员展示他们在设计和实施使用Microsoft Azure数据服务的数据解决方案方面的专业知识。它非常适合希望为DP-203：Microsoft Azure的数据工程考试（测试版）做好准备的人员。 这是帮助学员准备参加DP-203考试的10门课程中的第三门。数据工程考试是证明在集成、转换和整合来自各种结构化和非结构化数据系统的数据方面的知识的机会，目标是构建适合使用Microsoft Azure数据服务的分析解决方案。每门课程都教授与考试相关的概念和技能。 通过这项专业化学习，您将准备好注册并参加DP-203：Microsoft Azure的数据工程考试（测试版）。 课程大纲： 1. **与Azure Data Factory或Azure Synapse Pipeline集成数据** - 描述Azure Data Factory的核心组件，使您能够在云中创建大规模数据摄取解决方案。 2. **使用Azure Data Factory或Azure Synapse Pipeline进行PB级摄取** - 描述可以使用Azure Data Factory在不同数据存储之间摄取数据的各种方法。 3. **在Azure Data Factory或Azure Synapse Pipeline中进行无代码大规模转换** - 在没有使用代码的情况下执行常见数据转换和清理活动。 4. **在Azure Data Factory或Azure Synapse Pipeline中协调数据移动和转换** - 使用Azure Data Factory协调大规模数据移动，结合其他Azure数据平台和机器学习技术。 5. **在Azure Data Factory或Azure Synapse Pipeline中执行现有SSIS包** - 将SQL Server Integration Services包集成到Azure Data Factory解决方案中。 6. **将您的Azure Data Factory或Azure Synapse Pipeline投入运营** - 发布您在不同环境中的Azure Data Factory工作。 7. **使用Azure Data Share接收数据并与Azure Data Factory进行转换** - 从Azure Data Share摄取数据到Azure Data Factory管道，以建立自动化摄取管道。 8. **课程实践考试** - 在大规模的Azure Data Factory或Azure Synapse Pipeline中进行数据集成的实践考试。 通过学习本课程，您将获得所需的知识和技能，能够有效地使用Azure Data Factory来处理和集成数据，为将来的职业发展打下坚实的基础。
Name:Integrate data with Azure Data Factory or Azure Synapse Pipeline
Description:Describe the core components of Azure Data Factory that enable you to create large scale data ingestion solutions in the cloud
Name:Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Description:Describe the various methods that can be used to ingest data between various data stores using Azure Data Factory
Name:Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Description:Perform common data transformation and cleansing activities within Azure Data Factory without using code Implement Slowly Changing Dimension using Azure Data Factory or Azure Synapse Pipelines
Name:Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Description:Use Azure Data Factory to orchestrate large scale data movement by using other Azure Data Platform and Machine Learning technologies
Name:Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
Description:Integrate SQL Server Integration Services packages into an Azure Data Factory solution
Name:Operationalize your Azure Data Factory or Azure Synapse Pipeline
Description:Publish your Azure Data Factory work between different environments
Name:Receive data with Azure Data Share and transforming with Azure Data Factory
Description:Ingest data from Azure Data Share into Azure Data Factory pipelines to build automated ingestion pipelines
Name:Course Practice Exam
Description:Practice Exam on Data integration at scale with Azure Data Factory or Azure Synapse Pipeline
In this course, you will learn how to create and manage data pipelines in the cloud using Azure Data Factory. This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. It is ideal for anyone interested in preparing for the DP-203: Data Engineering on Microsoft Azure exam (beta). This is the third course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
